…We will release our code and models at: https://github.com/L-CodingSpace/semi- dpo View arXiv page View PDF Project page Add to collection Community Project Page: https://liming-ai.github…
…even with 12.5% of experts, it retains near full-model performance, while a matched standard MoE degrades sharply. We’re releasing the model, matched baseline, code, technical report, and an interactive…
Papers arxiv:2605.06548 Continuous Latent Diffusion Language Model Published on May 7 Submitted by taesiri on May 8 #3 Paper of the day ByteDance Seed Authors: Hongcan Guo , , , , , , , , , Guoqiang Wei , Abstract…
…Experimental validation demonstrates significant performance improvements for models trained on our data. All datasets are publicly released to advance the field of marine artificial intelligence and empower domain-specific MLLMs. View arXiv…
…Evaluations across 10 state-of-the-art LLMs, including closed and open-source models, show that models can often select a plausible object, but fail to identify the correct parts, their affordances…
…These findings highlight both the potential and current limitations of LLMs in modeling complex, real-world legal reasoning and technical novelty judgment in patent examination . We release our code and dataset to…
…Our code has released at: https://github.com/LinesHogan/tLLM. View arXiv page View PDF GitHub 39 Add to collection Community We are excited to share our new paper: “Large Language Models…
…View arXiv page View PDF Project page GitHub 70 Add to collection Community 🎧👀 Audio-Visual Intelligence in Large Foundation Models: A Comprehensive Survey 📄 arXiv: 2605.04045 We are excited to release what…
…cross-model adversarial settings , we find that even the strongest agent hallucinates 15.1% of its verifiable spatial claims and makes over half of its accusations without grounded evidence. We release the…
…Abstract Reinforcement learning for large language model agents focuses on coordinating team behaviors through orchestration traces that capture spawning, delegation, communication, aggregation, and stopping decisions, identifying key technical axes in reward design…